Description: The ear, as a biometric, has been given less
attention, compared to other biometrics such as fingerprint,
face and iris. Since it is a relatively new biometric, no
commercial applications involving ear recognition are
available. Intensive research in this field is thus required to
determine the feasibility of this biometric. In medical field,
especially in case of accidents and death, where face of patients
cannot be recognized, the use of ear can be helpful. In this
work, yet another method of recognizing people through their
ears is presented. Local Binary Patterns (LBP) is used as
features and the results are compared with that of Principal
Components Analysis (PCA). LBPhas a high discriminative
power, tolerance against globalillumination changes and low
computational load. Experiments were done on the Indian
Institute of Technology (IIT) Delhi ear image database and
results show that LBP yields a recognition rate of 93 while
PCA gives only 85 .
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